17th Chaotic Modeling and Simulation International Conference

Erscheinungsjahr 2026
ISBN: 978-3-031-98172-2
Verlag: Springer

Buch, Englisch, 304 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 703 g

Reihe: Springer Proceedings in Complexity

This proceedings highlights recent developments in nonlinear, dynamical, and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of nonlinear dynamics, chaos, fractals, and their applications in general science and engineering sciences.

The principal aim of CHAOS2024 International Conference is to expand the development of the theories of the applied nonlinear field, the methods, empirical data, and computer techniques as well as the best theoretical achievements of chaotic theory. CHAOS2024 Conference provides a forum for bringing together the various groups working in the area of nonlinear and dynamical systems, chaotic theory, and application to exchange views and report research findings.

Zielgruppe

Research

Autoren/Hrsg.

Dimotikalis, Yiannis

Skiadas, Christos H.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

Symmetry and Chaos in the Discrete Frenet Frame with Quaternion and (Split)Octonion Orbital Dynamics.- Chaos in the Iberian Electricity Market Characterization and Prediction Demand Whith nonlinear methods.- Analysis of Fractional MPC nonlinear control applied to Fractional Rossler oscillator.- Evaluation of Renewable Energy Sources on Energy Economics: A Correlation Analysis of Clearing Prices in the Hellenic Energy Exchange Market.- Complex Traffic Dynamics in Very Large Dense Networks: The 2D Approach.- Derivation of the gravitational field equations for a condensing cosmogonical body and investigation of gravitational wave instability based on the statistical theory.- Distributions of the diagonal elements of the Wigner’s reaction matrix in coupled unidirectional chaotic microwave networks.- Chaos at Cross waves, Depending on how to Calculate Lyapunov Exponent.- Influence of moment on processes near and inside the crystalline surface.- Viral Marketing on Barab´asi Albert Social Contact Networks.- Detecting Influencers in Social Networks Based on Evidential Centrality Measures.- Chaotic Jerk Generator: Circuit and Practical Realizations, Analysis and Control of the Oscillations.- On the Dynamics of a Cournot Duopoly Game with Heterogeneous Players, Social Welfare and Asymmetric Information.- Delay as an energy regulator of the generation of deterministic chaos in hydrodynamic systems with limited excitation.- Application of an Invariant Model of Boltzmann Statistical Mechanics and Convolution Theory to Turbulent Combustion.- Comparing the Rosenstein and Wolf algorithms in Experimental Chaos through C. elegans locomotion.- Dirac Theory as a Relativistic Flow.

Über Autor(innen)

Christos H. Skiadas, Ph.D., was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete, Greece, and former vice-rector of the University. He is a chair of the Demographics Workshop series, the Applied Stochastic Models and Data Analysis Conference series, and the Chaotic Modeling and Simulation Conference series. He has published more than 80 papers, three monographs, and 24 books, including probability, statistics, data analysis, and forecasting. His research interests include innovation diffusion modeling and forecasting, life table data modeling, healthy life expectancy estimates, and deterministic, stochastic, and chaotic modeling. Charilaos Skiadas, Ph.D., is an associate professor in mathematics and computer science at Hanover College, Indiana, USA. His research interests encompass a wide array of mathematical and computing topics, ranging from algebraic geometry to statistics and programming languages to data science and health state modeling.